CASIA OpenIR  > 智能感知与计算研究中心
Automatic Detection of 3D Lighting Inconsistencies Via a Facial Landmark Based Morphable Model
Peng, Bo1; Wang, Wei1; Dong, Jing1,2; Tieniu, Tan1; Wei Wang
2016
Conference NameIEEE International Conference on Image Processing
Source PublicationProceedings of 2016 IEEE International Conference on Image Processing
Pages3932-3936
Conference DateSeptember 25–28, 2016
Conference PlacePhoenix, Arizona, USA
AbstractExisting 3D lighting consistency based forensic methods have some practical problems. They usually require additional images and human labor to reconstruct the 3D face model for lighting estimation, and furthermore, they cannot deal with expressional faces effectively. These drawbacks make them unusable in many practical cases. In this paper, we propose a more practical 3D lighting based forensic method by incorporating a facial landmark based 3D morphable model to efficiently fit the face shape. We also introduce a residual error based algorithm to automatically exclude outliers in lighting estimation. Our proposed method is fully automatic and very efficient compared to previous ones. Also, it does not depend on additional images and has better performance for expressional faces. Experiments on a realistic face dataset with variational lighting conditions indicate the efficacy and superiority of our method.
KeywordImage Forensics 3d Morphable Model Face Splicing Lighting Consistency
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12302
Collection智能感知与计算研究中心
Corresponding AuthorWei Wang
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2.Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing 100093, Peoples R China
Recommended Citation
GB/T 7714
Peng, Bo,Wang, Wei,Dong, Jing,et al. Automatic Detection of 3D Lighting Inconsistencies Via a Facial Landmark Based Morphable Model[C],2016:3932-3936.
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